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Adaptive approach for change detection in EMG recordings

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Abstract

In this paper we present a new algorithm to detect abrupt changes in a signal when there is no a priori knowledge of the hypotheses on the process to be detected. This algorithm is based on the CUSUM algorithm. It can be applied in case of frequency and energy changes. This algorithm works when the samples are dependent and autoregressive modeling is needed. It is used to distinguish EMG segments from noise segments.
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Dates and versions

hal-02967184 , version 1 (14-10-2020)

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Wassim El Falou, Mohamad Khalil, Jacques Duchene. Adaptive approach for change detection in EMG recordings. 2001 23rd Annual International Conference of the IEEE Engineering n Medicine and Biology Society, Oct 2001, Istanbul, Turkey. pp.1875-1878, ⟨10.1109/IEMBS.2001.1020591⟩. ⟨hal-02967184⟩
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